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Field
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climate sensitivity hazards such as power outage due to wildfire. Experiences or publications with methods such as quasi-experimental design, case crossover design and spatial statistics are all positive
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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, mathematical statistics, or operations research. The PhD degree should normally have been awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish
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Management:Assist in managing research projects, including drafting funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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required Experience analyzing wearable device data including accelerometer and GPS data, as well as experience with spatial data analysis Demonstrated publication record in high quality peer-reviewed
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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-new lab that previously made important contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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for publication in areas relevant to the department’s disciplinary and scholarly foci. The successful candidate should possess a PhD in Education Policy Studies and Leadership. The candidate must have demonstrated